CN108767876B - Active frequency response model prediction control method for large power grid - Google Patents

Active frequency response model prediction control method for large power grid Download PDF

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CN108767876B
CN108767876B CN201810546914.6A CN201810546914A CN108767876B CN 108767876 B CN108767876 B CN 108767876B CN 201810546914 A CN201810546914 A CN 201810546914A CN 108767876 B CN108767876 B CN 108767876B
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CN108767876A (en
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李卫东
晋萃萃
申家锴
刘柳
温可瑞
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Dalian University of Technology
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract

The invention discloses an active frequency response model predictive control method for a large power grid, which aims to construct an active frequency response control framework based on the time-space distribution characteristic of the power grid frequency, convert the frequency response control from the dispersed feedback control into the centralized feedforward control and lay a theoretical foundation for the coordination and optimization of various frequency modulation means; secondly, through using model predictive control, the problem of control lag caused by the existing frequency response delay is solved, the adjustment characteristics of each frequency modulation means and the system operation constraint are comprehensively considered, the overall frequency response capability of the system is fully exerted on the premise of ensuring the system operation safety, the method solves the problem of control lag caused by the existing frequency response delay, and the output of each frequency modulation means is coordinated and optimized, so that the overall frequency response capability of each region is exerted to the maximum extent.

Description

Active frequency response model prediction control method for large power grid
Technical Field
The invention relates to the technical field of power systems, in particular to an active frequency response model prediction control method for a large power grid.
Background
The regions of China are wide, energy consumption and resource distribution are not balanced, and particularly, large-scale development of southwest hydropower, wind power, photovoltaic power generation and the like leads to the fact that coal power, wind power and the like of a large-scale energy base need to be transmitted to a load center through a power transmission network, and the energy transmission amount is huge. The problems of huge loss of long-distance power transmission, shortage of power transmission line corridors and the like are solved, but the environment of China is relatively poor, the dirt accumulation speed of a direct-current line is high, and the fault rate of an ultra-high voltage direct-current single-pole locking is high; and the problems that the operation technology of an alternating current power grid is not mature enough, the transmission power is limited, and the power exchange capacity between areas is insufficient exist. Therefore, a certain risk exists in the transmission of the extra-high voltage alternating current and direct current hybrid power grid, the fault of the extra-high voltage alternating current and direct current hybrid power grid can cause the surplus of power generated by a transmitting end system, the large-power shortage generated by a receiving end system, and meanwhile, the impact on the frequency and the tide of the power grid can be generated, and the system is required to have good frequency response capability.
With the improvement of the requirements of energy conservation and emission reduction, environmental protection, economy, load increase and the like, a small thermal power unit with high energy consumption and high pollution is replaced by a clean and efficient large thermal power unit, a nuclear power unit is also constructed and put into operation in a large area, the potential active power disturbance quantity of a system is increased, the power supply rigidity is increased, and the response capability to load change is poor. In addition, the allowable frequency variation range of a large unit is small, and the action of a protection device and the triggering of a cascading accident can be caused by too high or too low operation frequency, so that the frequency response capability of the power system is particularly important.
In recent years, renewable energy resources are rapidly developed, the grid connection quantity is increased year by year, and the grid connection space of a conventional unit is greatly occupied. Because the renewable energy unit generally does not have the frequency response capability, the frequency response capability of the power system is reduced, the inertia mass is reduced, the frequency response capability of resisting faults is obviously reduced, and contradictions are generated between renewable energy grid connection and system frequency response, so that the frequency response demand of a modern power grid is increased, and the response capability is reduced.
The existing frequency response is distributed control according to the action of local frequency difference no matter the conventional unit is based on the frequency response of a speed regulator or based on the direct current modulation of local frequencies at two sides. When high-power shortage occurs in the system, the frequency difference spatial-temporal distribution characteristic is obvious, the local frequency difference sensed by a remote unit is small, the power support amount is small, the frequency of a fault point is seriously reduced, the low-frequency load shedding is very easy, and even the power grid is broken down.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an active frequency response model predictive control method for a large power grid, which aims to construct an active frequency response control framework based on the time-space distribution characteristic of the power grid frequency, convert the frequency response control from the distributed feedback control into the centralized feedforward control and lay the theoretical foundation for the coordination and optimization of various frequency modulation means; secondly, through using model predictive control, the problem of control lag caused by the existing frequency response delay is solved, the adjustment characteristics of each frequency modulation means and the system operation constraint are comprehensively considered, and the overall frequency response capability of the system is fully exerted on the premise of ensuring the system operation safety, and the specific scheme comprises the following steps:
s1: establishing an active frequency response control framework of the power system;
s2: grading the frequency response emergency degree, and making corresponding control strategies for the frequency response emergency conditions with different degrees to form a control decision table;
s3: an active frequency response control strategy is provided for designing a control target and a control mode in a frequency change process for a disturbance synchronous area and a non-disturbance synchronous area: after disturbance occurs, a passive frequency response control strategy and an active frequency response control strategy are adopted for control according to the degree of emergency of the power shortage of the power system;
s4: establishing an active frequency response model predictive control strategy, namely establishing a frequency response MPC model and designing an MPC controller, and designing a control strategy for a disturbance synchronous area and a non-disturbance synchronous area according to control targets at different stages of frequency change during the establishment of the control strategy.
When the emergency degree of the frequency response is classified in the step S2, the dynamic process of the system frequency can be analyzed according to the generator rotor motion equation, the maximum power shortage that the system can bear under different situations is used as the basis for classifying the emergency degree by the electric power, and the higher the emergency degree is, the higher the requirement on the rapidity of the system frequency response is.
Further, a passive frequency response control strategy is used when the power system power deficit is in a low emergency level and an active frequency response control strategy is used when the power system power deficit is in a high emergency level.
Furthermore, in the process of the active frequency response control strategy, the frequency recovery of a disturbance synchronous area is taken as a target, and system balance constraint, unit output constraint, system standby constraint and non-disturbance synchronous area frequency safety constraint are taken as constraint conditions;
under the premise of meeting system constraint conditions in a frequency reduction stage, coordinating all the units in a disturbance synchronous area and a non-disturbance synchronous area according to the regulation characteristics of various units, exerting the whole frequency response capability of the area, and rapidly intercepting the frequency reduction of the system;
in the frequency recovery stage, the disturbance synchronous area recovers the local area frequency to a rated value according to the regulation characteristics of various units and the unit output in the coordination area, and the non-disturbance synchronous area gradually reduces the power support to the disturbance synchronous area; when the frequency difference of the disturbance synchronous area is restored to zero for the first time, the control mode of the disturbance synchronous area and the non-disturbance synchronous area is switched from active control to passive control, and the control is carried out according to the local frequency difference respectively until the local frequency is restored to the rated value and is kept stable.
Further, the following method is adopted for designing a control strategy for the disturbed synchronous area and the non-disturbed synchronous area:
frequency reduction phase, disturbance synchronization zone: using the frequency of a quick recovery system as a control target, namely delta f ∞, solving an optimal control variable by using an MPC controller, and adopting active control; non-disturbance synchronous area: the control target and the control mode of the disturbance synchronous area are the same;
and a frequency recovery stage: and (3) disturbing the synchronous area: since the frequency reduction is successfully intercepted, disturbing the synchronous area at the stage to restore the frequency to a rated value as a control target, namely, enabling delta f to be 0, solving an optimal control variable by using an MPC controller, and adopting active control; non-disturbance synchronous area: since the frequency of the disturbed synchronization region is successfully intercepted, the disturbed synchronization region needs to reduce the power support to the disturbed synchronization region at this stage, and the control target is that the tie line exchange power is equal to zero, namely delta PtieWhen the control variable is 0, solving the optimal control variable by using an MPC controller, and adopting active control;
and in the frequency recovery stage, the frequency of the disturbance synchronous area is recovered to zero for the first time, the control mode of the disturbance synchronous area and the non-disturbance synchronous area is switched from active control to passive control at the same time, and the system frequency is recovered to a rated value and is kept stable by adopting the traditional PID control.
By adopting the technical scheme, the active frequency response model predictive control method for the large power grid, provided by the invention, provides a unified action basis for conventional thermal power units, hydroelectric power units and the like and novel frequency modulation means such as gas units, active load response, energy storage equipment, direct-current transmission line power modulation and the like by adopting active frequency response control and changing from decentralized control to centralized control; the control efficiency of each frequency modulation means is fully exerted through the transition from passive control to active control, from parameter control to event control and from feedback control to feedforward control; the method adopts model predictive control, can comprehensively consider the constraint conditions of various unit regulation rate constraints, frequency response standby constraints, system operation safety constraints and the like, adjusts the control targets of various stages in the frequency change process after the fault, solves the problem of control lag caused by the existing frequency response delay, and performs coordinated optimization on the output of various frequency modulation means, thereby exerting the integral frequency response capability of various regions to the maximum extent.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of a frequency response MPC model built in the present invention;
FIG. 2 is a schematic diagram of a two-zone interconnected power system with multiple power supplies according to the present invention;
FIG. 3(a) is a schematic diagram illustrating a dynamic process of perturbing the synchronization region frequency according to the present invention;
FIG. 3(b) is a schematic diagram illustrating a frequency dynamic process of the unperturbed synchronization region according to the present invention;
FIG. 4(a) is a schematic diagram of the control parameters of the PSCH in the present invention;
FIG. 4(b) is a schematic diagram of the control parameters of the unperturbed synchronization region in the present invention
FIG. 5(a) is a schematic diagram of the output power of the disturbance synchronous area unit in the present invention;
FIG. 5(b) is a schematic diagram of the output power of the non-disturbance synchronous area unit in the present invention;
FIG. 6(a) is a diagram illustrating the total output power of the disturbed synchronous area in accordance with the present invention;
FIG. 6(b) is a diagram illustrating the total output power of the unperturbed synchronization region according to the present invention;
FIG. 7 is a schematic diagram of the exchange power of the tie lines of the disturbed synchronous area and the undisturbed synchronous area in the invention
Detailed Description
In order to make the technical solutions and advantages of the present invention clearer, the following describes the technical solutions in the embodiments of the present invention clearly and completely with reference to the drawings in the embodiments of the present invention:
as shown in fig. 1, the active frequency response model predictive control method for a large power grid specifically includes the following steps:
s1: an active frequency response control framework of the power system is established. The frequency response control is changed from passive control to active control, from parameter control to event control, from continuous control to logic control and from feedback control to feedforward control, so that theoretical reference is provided for better optimizing and coordinating various frequency adjusting means and improving the integral frequency response capability of the system.
S2: and grading the frequency response emergency degree, and making corresponding control strategies according to the frequency response emergency conditions with different degrees to form a control decision table. All the operating states contained in the same typical scene can adopt the same control strategy and correspond to the same control decision table. The formulation of the control strategy comprises two aspects of calling of an emergency frequency control means (the emergency frequency control means is different from conventional frequency response resources, belongs to paid services, provides a primary frequency modulation function only under large disturbance and is not usually put into use) and selection of a control mode. Specifically, the emergency frequency control means is preferentially used, and the control method is selected when the means is insufficient. With regard to the division of the degree of emergency of the fault, the dynamic process of the system frequency can be analyzed according to the generator rotor motion equation. Because the system is under different control strategiesThe maximum power deficit that can be borne is different, that is, the power disturbance causing the lowest point of the system frequency response to be equal to the low-frequency load shedding threshold value is different, the maximum power deficit that the system can bear under different situations can be used as the basis for dividing the emergency degree, and the higher the emergency degree grade is, the higher the requirement on the rapidity of the system frequency response is. The specific research on the division of the emergency degree of the fault needs to be analyzed along with the operation of the system, and the intensive research is not done in this text. The system basic control decision table in a typical scenario is shown in table 1. Wherein, PL1、PL2、PL3Respectively, the power threshold at the corresponding urgency. If the system power shortage is PlossWhen P is presentloss<PL1When the system is used, the low-frequency load shedding can be avoided by adopting a passive control mode without calling an emergency frequency control means; when P is presentL1≤Ploss<PL2When the system is in use, the system determines the calling amount of an emergency frequency control means according to the power shortage, and passive control is used for avoiding low-frequency load shedding; when P is presentL2≤Ploss<PL3In time, the system needs to avoid low-frequency load shedding by calling all emergency frequency control means and using active control.
TABLE 1 typical scene basis control decision-making table
Figure BDA0001679926230000051
S3: an active frequency response control strategy is provided for designing a control target and a control mode in a frequency change process for a disturbance synchronous area and a non-disturbance synchronous area: and after the disturbance occurs, a passive frequency response control strategy and an active frequency response control strategy are adopted for controlling according to the degree of emergency of the power shortage of the power system.
After disturbance occurs, when the system power shortage is in the first level and the second level of emergency degree, a passive frequency response control strategy is used, and feedback control is performed according to local frequency difference; when the emergency degree is in the level III, an active frequency response control strategy is used, and control targets and control modes in different stages of a frequency change process need to be designed for different control areas. The frequency response active control is essentially an optimization problem, and takes the frequency recovery of a disturbance synchronous area as a target and takes system balance constraint, unit output constraint, system standby constraint, non-disturbance synchronous area frequency safety constraint and the like as constraint conditions. In the frequency reduction stage, the control idea is as follows: on the premise of meeting system constraint conditions, all the units in the disturbance synchronous area and the non-disturbance synchronous area are coordinated according to the regulation characteristics of various units, so that the overall frequency response capability of the area is fully exerted, and the frequency reduction of the system is quickly intercepted. In the frequency recovery phase, the zone control concepts will change since the frequency drop has been intercepted. The control idea at this time is: the disturbance synchronization area coordinates the governed units to quickly restore the frequency of the area to a rated value according to the regulation characteristics of various units; the non-disturbance synchronous area should gradually reduce the power support to the disturbance synchronous area, so as to provide a good foundation for the next control mode transition. When the frequency difference of the disturbance synchronous area is restored to zero for the first time, the control mode of the two areas is switched from active control to passive control, and the two areas are respectively adjusted according to the local frequency difference until the local frequency is restored to the rated value and is kept stable.
S4: establishing an active frequency response model predictive control strategy, namely establishing a frequency response MPC model and designing an MPC controller, and designing a control strategy for a disturbance synchronous area and a non-disturbance synchronous area according to control targets at different stages of frequency change during the establishment of the control strategy.
In order to realize the control idea, a control strategy needs to be formulated to coordinate the output of the units governed by each region. However, since the conventional frequency response control has spontaneity, hysteresis, and a complex frequency response dynamic process, it is difficult to achieve a desired effect using the conventional PID control. The Model Predictive Control (MPC) method has the advantages of low model accuracy requirement, good control performance, strong robustness and the like, can predict future output according to the current running state of the system in a sampling period, solve the optimal control variable of the system at the current moment under the condition of meeting the state variable constraint and the output control target, and further perform rolling optimization, so that the MPC can be applied to active frequency response control for solving the problems faced by conventional PID control and improving the system frequency control effect after the fault.
Firstly, establishing a frequency response MPC model
The interconnected power system is composed of a plurality of control areas, power exchange is completed among the areas through connecting lines, a frequency response MPC model block diagram of an area i is shown in figure 1, and a two-area interconnected power system with multiple power supplies is shown in figure 2. Wherein, the conventional unit (hydroelectric power unit and thermal power unit) is an on-line operation unit and participates in primary frequency modulation and secondary frequency modulation simultaneously; the energy storage and gas turbine set only provides a primary frequency modulation function for frequency response standby resources. The model considers the output upper and lower limit constraints of various units and the regulation rate constraint of the conventional unit. From the transfer functions in the block diagram of FIG. 1, the frequency response MPC state space model for region i can be derived.
Energy storage unit:
Figure BDA0001679926230000061
a gas turbine unit:
Figure BDA0001679926230000062
Figure BDA0001679926230000063
Figure BDA0001679926230000064
Figure BDA0001679926230000065
thermal power generating unit:
Figure BDA0001679926230000066
Figure BDA0001679926230000067
Figure BDA0001679926230000068
a hydroelectric generating set:
Figure BDA0001679926230000069
Figure BDA0001679926230000071
Figure BDA0001679926230000072
the frequency difference change rate of the region i is as follows:
Figure BDA0001679926230000073
the active power exchange change rate of the region i and the region j meets the following conditions:
Figure BDA0001679926230000074
the secondary frequency modulation output power change rate satisfies:
Figure BDA0001679926230000075
the MPC output variable of the area i is determined by the control target of the area at the current moment and can be adjusted according to the control targets of different stages of frequency change. The region state space model is as follows:
Figure BDA0001679926230000076
in the formula, xi(t)、ui(t)、wi(t)、yi(t) are respectively a state variable, a control variable, a disturbance variable and an output variable. Wherein x isi(t)=[Δfi ΔPSED,i ΔXgE,i ΔXgV,i ΔPgR,i ΔPg,i ΔXt,i ΔXw,i ΔPwt,i ΔPw,iΔPtie,i ΔPa,i]T,ui(t)=[u1,i u2,i u3,i]T,wi(t)=[ΔPL,i Δfj]T,Ai、Bi、Fi、CiIs a corresponding parameter matrix. Matrix CiThe elements of (a) change with the change of the control target.
Design of MPC controller
Taking td as a sampling period, discretizing the equation (15) to obtain a discrete state space model of a k time region i as follows:
Figure BDA0001679926230000077
in the formula, Ai,d、Bi,d、Fi,d、Ci,dFrom the parameter matrix A in formula (15)i、Bi、Fi、CiDispersing the obtained product.
According to the model prediction control principle, a prediction time domain N can be deduced according to the state information of the system at the current time (k time)PThe inner model output y (k + j | k) (j ∈ [1, N)P]). In the control time domain Nc(Nc≤NP) And constructing a secondary performance index function:
Figure BDA0001679926230000081
in the formula, rsFor the system k time control target, Q, R are error weighted momentsAn array and a steering weight matrix.
The optimal control sequence u (k + j | k) (j epsilon [1, N) of the system in the prediction time domain can be obtained by optimizing and solving the formula (17)P]) And using the k +1 moment control parameter as the actual control quantity of the system to complete the rolling optimization.
Making control strategy
And after the fault, the control targets of different stages of the system frequency change process are different. Let the state variable of the disturbance synchronous area be xr(t) MPC model output is yr(t); the state variable of the non-disturbance synchronous area is xl(t) MPC model output is yl(t), the control strategy of each stage is as follows.
a. A frequency reduction stage:
in the frequency reduction stage, the control targets of the disturbance synchronous area and the non-disturbance synchronous area are the same, and the purpose is to coordinate the output of the units under jurisdiction according to the regulation characteristics of various units and fully exert the whole frequency response capability of the area. The state space model of each region and the parameter matrix and variable which are required to be adjusted along with the change of the control target in the MPC controller satisfy the expression (keeping other parameters and variable expressions unchanged):
and (3) disturbing the synchronous area:
parameter matrix: cr=[1 0 0 0 0 0 0 0 0 0 0 0 0 0];
Output variables are: y isr(t)=fr
A control target: r iss,r=m;
Non-disturbance synchronous area:
parameter matrix: cl=[1 0 0 0 0 0 0 0 0 0 0 0 0 0];
Output variables are: y isl(t)=fl
A control target: r iss,l=m;
After parameter matrixes, output variables and control targets of all the regions are determined, the control parameters of all the units are optimized and solved by using the formulas (1) to (17), and control strategies are respectively formulated for a disturbance synchronous region and a non-disturbance synchronous region. Wherein m is a constant as large as possible and is used for fully playing the whole frequency response capability of the areas of the disturbed synchronous area and the undisturbed synchronous area.
b. And a frequency recovery stage:
in the frequency recovery stage, the control target of the disturbance synchronous area is that the frequency difference is zero, and the aim is to coordinate the output characteristics of various units and recover the system frequency to a rated value; the control target of the non-disturbance synchronous area is that the change rate of the power exchange of the tie line is zero, and aims to reduce the power support to the disturbance synchronous area. And (3) satisfying the parameter matrix and the variable which are required to be adjusted along with the change of the control target in each region state space model and the MPC controller (keeping other parameters and variable expressions unchanged):
and (3) disturbing the synchronous area:
parameter matrix: cr=[1 0 0 0 0 0 0 0 0 0 0 0 0 0];
Output variables are: y isr(t)=fr
A control target: r iss,r=0;
Non-disturbance synchronous area:
parameter matrix: cl=[0 0 0 0 0 0 0 0 0 0 0 0 1 0];
Output variables are: y isl(t)=ΔPtie,l
A control target: r iss,l=0;
After parameter matrixes, output variables and control targets of all the regions are determined, the control parameters of all the units are optimized and solved by using the formulas (1) to (17), and control strategies are respectively formulated for a disturbance synchronous region and a non-disturbance synchronous region.
c. When the frequency of the disturbance synchronous area is restored to zero for the first time, the control mode of the disturbance synchronous area and the non-disturbance synchronous area is switched from active control to passive control at the same time, and the system frequency is restored to a rated value and is kept stable by adopting the traditional PID control.
Comparing the method (AFRMPC method) proposed herein with the conventional control method (PFRC method), the frequency control effect is shown in fig. 3(a) and (b), the control parameter pairs are shown in fig. 4(a) and (b), the output of various types of units are shown in fig. 5(a) and (b), the total output of the zones is shown in fig. 6(a) and (b), and the power change of the tie line between the two zones is shown in fig. 7.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (3)

1. An active frequency response model prediction control method for a large power grid is characterized by comprising the following steps: the method comprises the following steps:
s1: establishing an active frequency response control framework of the power system;
s2: grading the frequency response emergency degree, and making corresponding control strategies for the frequency response emergency conditions with different degrees to form a control decision table;
s3: an active frequency response control strategy is provided for designing a control target and a control mode in a frequency change process for a disturbance synchronous area and a non-disturbance synchronous area: after disturbance occurs, a passive frequency response control strategy and an active frequency response control strategy are adopted for control according to the degree of emergency of the power shortage of the power system;
s4: establishing an active frequency response model predictive control strategy, namely establishing a frequency response MPC model and designing an MPC controller, and designing a control strategy for a disturbance synchronous area and a non-disturbance synchronous area according to control targets at different stages of frequency change during the establishment of the control strategy;
in the process of an active frequency response control strategy, the frequency recovery of a disturbance synchronous area is taken as a target, and system balance constraint, unit output constraint, system standby constraint and non-disturbance synchronous area frequency safety constraint are taken as constraint conditions;
under the premise of meeting system constraint conditions in a frequency reduction stage, coordinating all the units in a disturbance synchronous area and a non-disturbance synchronous area according to the regulation characteristics of various units, exerting the whole frequency response capability of the area, and rapidly intercepting the frequency reduction of the system;
in the frequency recovery stage, the disturbance synchronous area recovers the local area frequency to a rated value according to the regulation characteristics of various units and the unit output in the coordination area, and the non-disturbance synchronous area gradually reduces the power support to the disturbance synchronous area; when the frequency difference of the disturbance synchronous area is restored to zero for the first time, the control mode of the disturbance synchronous area and the non-disturbance synchronous area is switched from active control to passive control, and the control is respectively carried out according to the local frequency difference until the local frequency is restored to a rated value and is kept stable;
the control strategy is designed for the disturbance synchronous area and the non-disturbance synchronous area by adopting the following mode:
frequency reduction phase, disturbance synchronization zone: using the frequency of a quick recovery system as a control target, namely delta f ∞, solving an optimal control variable by using an MPC controller, and adopting active control; non-disturbance synchronous area: the control target and the control mode of the disturbance synchronous area are the same;
and a frequency recovery stage: and (3) disturbing the synchronous area: since the frequency reduction is successfully intercepted, disturbing the synchronous area at the stage to restore the frequency to a rated value as a control target, namely, enabling delta f to be 0, solving an optimal control variable by using an MPC controller, and adopting active control; non-disturbance synchronous area: since the frequency of the disturbed synchronization region is successfully intercepted, the disturbed synchronization region needs to reduce the power support to the disturbed synchronization region at this stage, and the control target is that the tie line exchange power is equal to zero, namely delta PtieWhen the control variable is 0, solving the optimal control variable by using an MPC controller, and adopting active control;
and in the frequency recovery stage, the frequency of the disturbance synchronous area is recovered to zero for the first time, the control mode of the disturbance synchronous area and the non-disturbance synchronous area is switched from active control to passive control at the same time, and the system frequency is recovered to a rated value and is kept stable by adopting the traditional PID control.
2. The active frequency response model predictive control method for the large power grid according to claim 1, further characterized by comprising the following steps: when the emergency degree of the frequency response is classified in the step S2, the dynamic process of the system frequency can be analyzed according to the generator rotor motion equation, the maximum power shortage that the system can bear under different situations is used as the basis for classifying the emergency degree by the electric power, and the higher the emergency degree is, the higher the requirement on the rapidity of the system frequency response is.
3. The active frequency response model predictive control method for the large power grid according to claim 1, further characterized by comprising the following steps: a passive frequency response control strategy is used when the power system power deficit is in a low emergency level and an active frequency response control strategy is used when the power system power deficit is in a high emergency level.
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EP3691186A1 (en) * 2019-01-31 2020-08-05 Nokia Solutions and Networks Oy Method and apparatus for predicting the bitrate of a repaired communication channel
CN110148956B (en) * 2019-05-07 2021-08-24 万克能源科技有限公司 Battery energy storage system auxiliary AGC control method based on MPC
CN111045327B (en) * 2019-11-28 2021-10-01 中国大唐集团科学技术研究院有限公司华东电力试验研究院 Automatic manual switching method based on generalized predictive control
CN112260304B (en) * 2020-10-21 2022-04-08 大连理工大学 Three-section type control strategy for back-to-back converter station
CN113098032A (en) * 2021-05-20 2021-07-09 福州大学 Energy storage participation power grid primary frequency modulation control method based on model predictive control
CN113595059A (en) * 2021-05-25 2021-11-02 国网天津市电力公司电力科学研究院 Generation method of active frequency response control typical scene of wide area power grid
CN115333160A (en) * 2022-09-13 2022-11-11 国网福建省电力有限公司 Microgrid robust frequency control method based on wind turbine generator and electric automobile

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1489715B1 (en) * 2003-06-21 2009-04-08 Abb Research Ltd. Real-time emergency control in power systems
CN107910879A (en) * 2017-11-10 2018-04-13 大连理工大学 A kind of active frequency response events control strategy
CN107947172A (en) * 2017-12-18 2018-04-20 山东大学 A kind of electric system inertia levels appraisal procedure based on Wide-area Measurement Information

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1489715B1 (en) * 2003-06-21 2009-04-08 Abb Research Ltd. Real-time emergency control in power systems
CN107910879A (en) * 2017-11-10 2018-04-13 大连理工大学 A kind of active frequency response events control strategy
CN107947172A (en) * 2017-12-18 2018-04-20 山东大学 A kind of electric system inertia levels appraisal procedure based on Wide-area Measurement Information

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Design and Stability of Load-Side Primary Frequency Control in Power Systems;Changhong Zhao等;《IEEE TRANSACTIONS ON AUTOMATIC CONTROL》;20140531;第1177-1189页 *
大功率缺失下主动频率响应控制初探;李卫东等;《电力系统自动化》;20180425;第42卷(第8期);第22-30页 *

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